Multi-Region Deployment: AWS, Kubernetes, and Global Databases

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.

Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

Showing 1 of 1All 2062 services
Multi-Region Deployment: AWS, Kubernetes, and Global Databases
Complex
~5 days
Frequently Asked Questions

Our competencies:

Development stages

Latest works

  • image_website-b2b-advance_0.webp
    B2B ADVANCE company website development
    1364
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1253
  • image_websites_belfingroup_462_0.webp
    Website development for BELFINGROUP
    960
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1191
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    933
  • image_bitrix-bitrix-24-1c_fixper_448_0.webp
    Website development for FIXPER company
    950

Note: when your web service runs in a single data center, users from other continents wait over a second for a response. For e-commerce, every 100 ms delay drops conversion by 7%. We configure multi-region deployment for global projects: distribute infrastructure across multiple AWS regions, Kubernetes, and manage traffic via Route 53. This reduces TTFB to 20–30 ms and guarantees 99.99% uptime even if an entire region fails. Every hour of downtime costs a large online store $10,000, and multi-region deployment eliminates that risk.

What Problems Does Multi-Region Deployment Solve?

Users in Europe complain about API timeout, while American customers leave due to a 3-second response time. Multi-region deployment routes traffic to the nearest region, and the database replicates synchronously. This reduces LCP and TTFB, and ensures fault tolerance during regional failures. For a site with 1 million visitors, using CDN can save up to $2,000 per month in traffic.

Which Architectural Pattern to Choose?

Pattern Description Failover Time Suitable For
Active-Passive One primary region, second accepts traffic only during failure 15–60 s Low-budget projects without strict latency requirements
Active-Active Both regions accept traffic simultaneously Instant High-load applications requiring minimal latency and constant availability
Read Replicas Write only in primary region, read from nearest 1–5 min (primary failure) Read-heavy projects (blogs, portals)

Active-Active reduces latency by 2–3 times compared to Active-Passive, but requires careful data synchronization. For international e-commerce, this means a potential 15% conversion increase and support cost savings through failover automation. Typical monthly cost for a basic Active-Passive setup ranges from $500 to $1,000, while full Active-Active with global database may cost $2,000 to $4,000 per month, but the conversion increase often pays back within months.

Multi-Region Deployment Tools

AWS Multi-Region with Route 53

“Route 53 latency routing automatically directs requests to the region with the lowest latency” (AWS Documentation).

# Terraform: EKS cluster in eu-west-1
module "eks_eu" {
  source  = "terraform-aws-modules/eks/aws"
  region  = "eu-west-1"

  cluster_name    = "myapp-eu"
  cluster_version = "1.29"
  vpc_id          = module.vpc_eu.vpc_id
  subnet_ids      = module.vpc_eu.private_subnets

  managed_node_groups = {
    main = {
      instance_types = ["m6i.xlarge"]
      min_size       = 2
      max_size       = 10
      desired_size   = 3
    }
  }
}

# Route 53: Latency-based routing
resource "aws_route53_record" "api" {
  zone_id = var.hosted_zone_id
  name    = "api.mysite.com"
  type    = "A"

  set_identifier = "eu-west-1"
  latency_routing_policy {
    region = "eu-west-1"
  }

  alias {
    name                   = aws_lb.eu.dns_name
    zone_id                = aws_lb.eu.zone_id
    evaluate_target_health = true
  }
}

A similar block is configured for us-east-1 and other regions. Route 53 latency routing

Database: Cross-Region Replication

PostgreSQL with Logical Replication

-- PRIMARY (eu-west-1)
CREATE PUBLICATION myapp_pub FOR ALL TABLES;

-- REPLICA (us-east-1)
CREATE SUBSCRIPTION myapp_sub
  CONNECTION 'host=eu-primary.rds.amazonaws.com user=replicator password=secret dbname=myapp'
  PUBLICATION myapp_pub;

Aurora Global Database is a managed option. Failover Aurora Global: ~1 minute, automatic via Route 53. Aurora Global Database achieves sub-second replication lag, while PostgreSQL logical replication has 1-5 seconds lag.

Replication Option Replication Lag Complexity Cost
Aurora Global <1 s Low High
PostgreSQL Logical 1–5 s Medium Medium
RDS Read Replicas 1–10 s Low Low

Using CDN for static content reduces bandwidth costs: for a site with 1 million visitors, savings can be up to $2,000 per month in traffic.

Kubernetes: Multi-Region Deployment with ArgoCD ApplicationSet

For Kubernetes multi-cluster deployment, use ArgoCD ApplicationSet.

apiVersion: argoproj.io/v1alpha1
kind: ApplicationSet
metadata:
  name: myapp
  namespace: argocd
spec:
  generators:
    - list:
        elements:
          - cluster: eks-eu-west-1
            region: eu-west-1
            db_host: aurora-eu.cluster.rds.amazonaws.com
          - cluster: eks-us-east-1
            region: us-east-1
            db_host: aurora-us.cluster.rds.amazonaws.com
  template:
    metadata:
      name: 'myapp-{{region}}'
    spec:
      project: default
      source:
        repoURL: https://github.com/myorg/myapp
        targetRevision: HEAD
        path: helm/myapp
        helm:
          values: |
            region: {{region}}
            database:
              host: {{db_host}}
      destination:
        server: '{{cluster}}'
        namespace: myapp

Stateless Application — Foundation for Global Deployment

For multi-region deployment, the application must be stateless. Store sessions in Redis with multi-region replication, not in process memory.

// DO NOT store state in process memory
// BAD:
const sessions = new Map<string, Session>(); // lost on restart

// GOOD: Redis (with replication)
import { Redis } from '@upstash/redis';

const redis = new Redis({
  url: process.env.UPSTASH_REDIS_URL!,
  token: process.env.UPSTASH_REDIS_TOKEN!,
});

async function getSession(sessionId: string): Promise<Session | null> {
  return redis.get<Session>(`session:${sessionId}`);
}

Vercel Edge Network: Serverless Deployment

For Next.js/Nuxt, the simplest multi-region deployment is Vercel Edge Network. Server components and API routes deploy as Edge Functions across 30+ regions automatically.

// app/api/config/route.ts
export const runtime = 'edge'; // deploys to edge nodes worldwide

export async function GET() {
  const region = process.env.VERCEL_REGION ?? 'unknown';
  return Response.json({ region });
}

Deliverables

The project deliverables include:

  • Infrastructure architecture documentation (Terraform, Helm, network topology).
  • Configured access to services (AWS, Kubernetes, monitoring).
  • Team training: how to manage deployments, add regions, perform failover.
  • Launch support: monitoring first 48 hours, configuration adjustments.

Process

  1. Analysis — study audience geography, latency and data localization requirements.
  2. Design — select regions, pattern (Active-Passive/Active-Active), tools.
  3. Implementation — configure infrastructure via Terraform, database replication, deployment via ArgoCD.
  4. Testing — verify failover, latency, data synchronization.
  5. Documentation & Training — hand over access, diagrams, instructions for the team.

Economic Impact

Investment in multi-region architecture pays off through increased conversion and user loyalty. Configuration cost is determined individually, but savings from reduced latency can far exceed the investment — especially for projects with a global audience.

For an e-commerce store with audience in Europe and USA, we deployed Kubernetes in eu-west-1 and us-east-1, set up Aurora Global Database and Route 53 latency routing. After deployment, LCP dropped from over 4 seconds to 0.9 seconds, and conversion increased by 15%. Downtime during a region failure was less than 30 seconds.

Why Choose Us

Our engineers have 10+ years of experience in DevOps and global infrastructure setup. We have implemented over 50 multi-region projects for e-commerce, SaaS, and fintech. We guarantee reliability and compliance with Core Web Vitals.

We will assess your project for free — contact us. Order a free audit of your current infrastructure.

We regularly encounter a situation: "The site is not opening" at 3 a.m. — and it turns out that the VPS disk is full because nginx logs haven't been rotated for six months. Or the server went down under load on the day of an advertising campaign launch because the shared hosting had a limit of 50 concurrent connections. Setting up hosting and deployment is not about "where it's cheaper" but about what happens when something goes wrong. Our team helps avoid such incidents by designing infrastructure that accounts for real load patterns.

When to choose Vercel and Netlify?

Vercel is built for Next.js — deploy in one push, preview deployments for every PR, automatic CDN, Edge Functions, ISR without configuration. For frontend projects and JAMstack, it's the optimal choice: no operational overhead, time-to-deploy measured in minutes.

Real limitations: Vercel Serverless Functions run in us-east-1 by default (latency for Europe +80–100ms), Function timeout 300 seconds on Pro, Bandwidth 1TB/month on Pro. For heavy backend, you need workers or a separate server.

Netlify is closer to static sites and Edge Functions based on Deno Deploy. Build minutes are the main limitation on the free tier.

Criterion Vercel Netlify
Main specialization Next.js, frameworks Static, JAMstack
Edge Functions V8 isolates (Node.js) Deno Deploy
Preview Deployments Built-in Built-in
Serverless Functions Yes, 300s limit Yes, 10s limit
Free bandwidth limit 100 GB 100 GB

Why is Docker the foundation of predictable deployment?

"It works on my machine" — classic. Docker solves this through environment containerization. But a bad Dockerfile creates new problems.

A typical mistake: copying everything into the image without .dockerignore, resulting in an 800MB image instead of 80MB. node_modules inside the image weighs as much. Correct approach: multi-stage build.

FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
RUN npm run build

FROM node:20-alpine AS runner
WORKDIR /app
COPY --from=builder /app/.next ./.next
COPY --from=builder /app/node_modules ./node_modules
COPY --from=builder /app/package.json ./package.json
EXPOSE 3000
CMD ["npm", "start"]

Final image: 180MB instead of 1.2GB. CI build time is reduced due to layer caching — if package.json hasn't changed, the layer with npm ci is taken from cache.

Docker Compose for local development and simple production scenarios: application + PostgreSQL + Redis in one configuration. For production on a single server, it's a perfectly viable option if there's no requirement for horizontal scaling.

More about containerization — Wikipedia: Docker.

How to set up Nginx as a reverse proxy?

Nginx in front of the application is standard for VPS and dedicated servers. Main functions: SSL termination, gzip, static files, rate limiting, upstream load balancing.

A configuration often done incorrectly: worker_processes auto — number of processes equals CPU count. worker_connections 1024 — that's 1024 per worker process. With 4 CPUs and 1024 connections = 4096 concurrent connections. For a high-traffic site, you need worker_connections 4096 and set keepalive_timeout 65.

For static assets with hash in the filename:

location ~* \.(js|css|woff2|png|webp)$ {
    expires 1y;
    add_header Cache-Control "public, immutable";
}

immutable tells the browser: don't revalidate this file even on hard refresh. This only works correctly with content-hashed filenames (which Vite/webpack do by default). Documentation — Wikipedia: Nginx.

AWS: flexibility and complexity

EC2 + Auto Scaling Group — classic for horizontal scaling. AMI with pre-installed application, Launch Template, ASG with min/desired/max instances, Application Load Balancer. When CPU > 70% for 3 minutes — scale out, when CPU < 30% for 15 minutes — scale in. Health check via ALB removes unhealthy instances from rotation.

ECS Fargate — containers without managing EC2. Deploy a Docker image, specify CPU/memory (512 CPU units = 0.5 vCPU, from 512MB memory), Fargate launches it. More expensive than Lambda, but no cold start and no timeout limitations. Suitable for long-running processes, WebSocket servers, heavy workers.

RDS for PostgreSQL with Multi-AZ: automatic failover in 1–2 minutes when primary fails. Read Replicas for scaling reads. RDS Proxy for connection pooling — Lambda functions cannot hold long-term connections, the proxy buffers this.

Kubernetes: when it is justified

K8s adds significant operational complexity. Justified when: multiple teams deploy independent services, fine-grained resource allocation per service is needed, canary deployments and blue/green without downtime are required.

AWS EKS, GKE, or managed k8s from Hetzner (cheaper). Helm charts for standard services. Horizontal Pod Autoscaler based on CPU and custom metrics (RPS via Prometheus).

For most startups and medium-sized projects, Kubernetes is overkill. ECS or Fly.io provide 80% of the capabilities with 20% of the operational complexity.

Monitoring and alerting

A server without monitoring is waiting for an incident. Minimal stack: Prometheus + Grafana (or Grafana Cloud for managed), alerting on disk > 80%, memory > 85%, CPU > 90% over 5 minutes, error rate > 1%. Uptime via Better Uptime or Upptime (self-hosted).

Logs: Loki + Grafana or CloudWatch Logs Insights. Structured JSON logs (winston, pino) are mandatory — otherwise, log searching becomes a pain.

What is included in hosting setup

  • Audit of current infrastructure and load profiling
  • Selection of target architecture (VPS, AWS, serverless, Kubernetes)
  • Setting up CI/CD pipeline (GitHub Actions, GitLab CI) with automatic deployment
  • IaC via Terraform or Pulumi (infrastructure as code)
  • Configuration of Nginx, SSL certificates, HTTP/2, brotli
  • Monitoring and alerting (Prometheus + Grafana, PagerDuty)
  • Documentation of runbooks and team training

Additionally, contact us if you need migration from current hosting or integration with external services.

Work process

  1. Audit of current infrastructure (2–5 days)
  2. Selection of target architecture with load and budget justification (1–3 days)
  3. Setting up CI/CD pipeline (GitHub Actions, GitLab CI) (2–5 days)
  4. IaC via Terraform or Pulumi (3–10 days)
  5. Setting up monitoring and alerting (2–5 days)
  6. Documentation of runbooks and team training (1–3 days)

Our experience — 7 years on the market, over 50 projects, guarantee of operability after deployment.

Timeline

  • Basic deployment on VPS with Docker + Nginx + CI/CD: 1–2 weeks.
  • Setting up AWS infrastructure with Auto Scaling, RDS, CDN: 3–6 weeks.
  • Migration to EKS from scratch: 6–12 weeks.
  • Setting up Vercel/Netlify for JAMstack: 3–5 days.

The cost is calculated individually depending on complexity and scope of work. Get a consultation — we'll evaluate your architecture in one day.